bdi-mental-states - BDI Mental State Modeling with RDF Ontology Patterns
Transforms external RDF context into agent mental states (beliefs, desires, intentions) using formal BDI ontology patterns for cognitive agent reasoning.
Tags
Updated: 2026-06-30Capabilities
Typical Inputs
Typical Outputs
What this skill does
- transform RDF into beliefs
- generate desires from beliefs
- commit intentions from desires
- link mental states to plans
- track temporal evolution of beliefs
- project mental states to RDF
- validate mental state consistency
- query mental states via SPARQL
- attach justifications to mental entities
Inputs
- External RDF context
- BDI ontology definitions
- World state configurations
Outputs
- RDF/Turtle mental state representations
- Belief-desire-intention model instances
- Plan and task sequences
- Justification instances
Requirements
- RDF/Turtle serialization support
- SPARQL query engine
- BDI ontology reference files
- LLM support for Logic Augmented Generation